Senior Manager, Data Program Management
Westmonroe4 · Chicago; Dallas; Los Angeles; Minneapolis; New York; San Francisco; Seattle; Washington, D.C. · 2026-08-11
About this role
Are you ready to make an impact?
West Monroe is seeking a Senior Manager, Data Program Management to lead large-scale enterprise data transformation programs that enable organizations to modernize their data platforms, accelerate cloud adoption, and unlock business value from their data assets.
What You Will Do
Client Delivery
• Lead large-scale enterprise data transformation and modernization programs from strategy through implementation and business adoption.
• Manage all aspects of complex engagements, including scope, budget, staffing, profitability, timelines, quality, and delivery across multiple workstreams.
• Direct enterprise data migration initiatives involving Databricks, Snowflake, and modern cloud data platforms while coordinating cross-functional teams across data engineering, architecture, analytics, infrastructure, security, and business functions.
• Establish program governance, executive steering committees, integrated delivery plans, RAID management, dependency tracking, and executive reporting to ensure successful delivery.
• Partner with executive stakeholders to define transformation roadmaps, success metrics, operating models, and organizational change strategies that drive measurable business outcomes.
• Lead AI-enabled delivery approaches that improve program governance, project execution, decision-making, and delivery quality across complex transformation initiatives.
• Champion the use of AI-powered project management and delivery tools to accelerate planning, risk identification, dependency management, status reporting, documentation, and executive communications.
• Partner with client stakeholders to identify opportunities where AI can improve data quality, migration validation, testing, operational readiness, and business adoption.
• Collaborate with data engineering and AI teams to incorporate generative AI, machine learning, and automation capabilities into enterprise data modernization programs where they create measurable business value.
• Establish governance processes that ensure AI-enabled delivery practices are implemented responsibly, with appropriate oversight, security, and quality controls.
• Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs.
• Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.
Business Development
• Develop trusted relationships with executive stakeholders and serve as a strategic advisor for enterprise data transformation and modernization initiatives.
• Identify, shape, and lead pursuits involving cloud data modernization, data migration, analytics, AI, and enterprise transformation.
• Collaborate with Databricks, Snowflake, cloud hyperscalers, and strategic alliance partners to develop differentiated client solutions.
• Advise executives on AI-enabled data transformation strategies, helping clients understand how modern data platforms, automation, and AI capabilities accelerate business outcomes.
Practice Development
• Develop and enhance West Monroe's Data Program Management methodologies, PMO assets, governance frameworks, and delivery accelerators.
• Develop reusable delivery methodologies that incorporate AI to improve program management, project controls, knowledge management, and delivery quality.
• Mentor and coach project managers, engagement managers, and consultants on enterprise program management best practices and AI-enabled delivery approaches.
• Contribute thought leadership on enterprise data transformation, cloud modernization, AI-enabled program management, and delivery excellence.
• Stay current on emerging technologies, AI capabilities, cloud data platforms, and modern delivery methodologies.
What You Will Bring
• 10+ years of consulting, technology, or business transformation experience leading complex enterprise programs.
• Demonstrated success leading large-scale data migration and modernization programs with multiple workstreams, executive stakeholders, and cross-functional delivery teams.
• Strong expertise in program and project management, including governance, financial management, executive reporting, dependency management, RAID management, organizational change management, and delivery excellence.
• Experience delivering enterprise data platform implementations or migrations involving Databricks, Snowflake, Azure, AWS, Google Cloud, or similar cloud data ecosystems.
• Understanding of modern data architectures, including data lakes, lakehouse platforms, cloud data warehouses, ETL/ELT, data governance, analytics, and AI ecosystems.
• Experience leading cross-functional teams of data architects, engineers, analysts, business stakeholders, and third-party vendors.
• Experience leading AI-enabled transformation programs that integrate modern data platforms, analytics, automation, and generative AI into enterprise business processes.
• Familiarity with AI capabilities across modern cloud ecosystems, including Databricks AI, Snowflake Cortex, Azure AI, AWS AI services, Microsoft Copilot, or similar technologies.
• Experience applying AI to improve project delivery, including planning, forecasting, risk management, documentation, testing, reporting, and stakeholder communications.
• Ability to evaluate AI-generated outputs, establish governance for responsible AI adoption, and balance automation with sound business judgment.
• Proven ability to influence executive stakeholders, build trusted client relationships, and communicate effectively with C-suite leaders.
• PMP, PgMP, SAFe, Agile, or related program management certifications are preferred.
• Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy,…
Skills asked for
- databricks
- snowflake
- machine learning
- azure
- aws
- google cloud
- agile
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